data¶

This module provides data analysis utilities for ITD and synapse test results, including averaging and curve fitting functions.

find_centroid(data, delay_values)[source]¶

Find the centroid of an ITD curve.

Parameters¶

datalist[float]: Array of data values.
delay_valueslist[float]: Array of delay values.

Returns¶

centroidfloat or None: Centroid value or None if not computable.

fit_gaussian_to_itd(delay_values, probabilities)[source]¶

Fit a Gaussian curve to ITD data.

Parameters¶

delay_valueslist[float]: Array of delay values.
probabilitieslist[float]: Array of probabilities.

Returns¶

y_fitnp.ndarray: Fitted Gaussian curve values.

get_itd_averages(filepath=None, df=None, parameters=[], ignore_name=False)[source]¶

Calculate ITD averages from a CSV file, where columns are structured [name, parameters…, delay_values] and each row is a separate ITD sweep.

Parameters¶

filepathstr: Path to the CSV file containing ITD data.
dfpd.DataFrame, optional: DataFrame containing ITD data. If provided, ‘filepath’ is ignored.
parameterslist, optional: List of parameter names to group by.

Returns¶

itd_averages_pdpd.DataFrame: DataFrame containing averaged ITD data.

get_syntest_averages(filepath, df=None)[source]¶

Get average synapse data from a given file path.

Parameters¶

filepathstr: Path to the CSV file containing synapse test data.
dfpd.DataFrame, optional: DataFrame containing synapse test data. If provided, ‘filepath’ is ignored.

Returns¶

averaged_groupsyn_pdpd.DataFrame: DataFrame containing averaged synapse test data.